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Database Engineer

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: Echelongov
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    Data Engineer, Database Administrator
Job Description & How to Apply Below

Job Details

Job Location: VA 76 - Reston, VA
Position Type: Full Time
Education Level: 4 Year Degree
Salary Range: Undisclosed
Job Category: Information Technology

Position Title: Database Engineer

Clearance Requirements: TS/SCI with CI Polygraph. Investigation or CV date within 5 years

Duties and Responsibilities

Database Administration and Management:

  • Design, implement, and maintain Postgre

    SQL and Anzo Graph database environments, including schema design, data modeling, performance tuning, and query optimization.
  • Develop and implement data loading strategies for efficient ingestion of data into Anzo Graph.
  • Develop and implement data backup and recovery strategies for Postgre

    SQL databases.
  • Monitor and tune Postgre

    SQL and Anzo Graph performance, ensuring optimal query execution and resource utilization.
  • Develop and implement best practices for Postgre

    SQL and Anzo Graph security, including access control and data encryption.
  • Design and implement security policies, user access controls, and encryption methods to protect sensitive data
  • Troubleshoot and resolve Postgre

    SQL and Anzo Graph database issues, including performance bottlenecks and data inconsistencies
  • Perform routine database administration tasks, including installation, configuration, patching, upgrades, and migrations for Postgre

    SQL and Anzo Graph
  • Work closely with the engineering team and other stakeholders to support their analytical needs and provide guidance on Postgre

    SQL and Anzo Graph usage.
  • Participate in scrum meetings, architecture reviews, and code reviews
  • Design, develop, and maintain Extract, Transport, and Load (ETL) pipelines to extract, transform, and load data from various sources into Anzo Graph and Postgre

    SQL.

Performance Tuning and Optimization:

  • Conduct performance analysis, tuning, and query optimization for both Postgre

    SQL and Anzo Graph
  • Analyze execution plans and database resource usage, and make recommendations for improvements
  • Configure and tune database parameters to achieve optimal performance, especially for large datasets

Data Modeling and Development Support:

  • Collaborate with application developers and data architects to design and implement new database schemas for both relational and graph data models
  • Write and optimize complex SQL queries for Postgre

    SQL and SPARQL/Cypher queries for Anzo Graph
  • Support data migration, Extract, Transform, Load (ETL), and Extract, Load, Transform (ELT) processes to facilitate data movement between systems
  • Ensure data quality and integrity throughout the ETL process.
  • Develop and maintain documentation for data pipelines and database schemas.

Infrastructure and Automation:

  • Manage Postgre

    SQL and Anzo Graph deployments on premises, in containers (i.e., Docker, Kubernetes), and in the cloud (i.e., AWS, Azure)
  • Develop and implement automation scripts using languages like Python or Bash, and tools like Terraform or Ansible to manage database infrastructure as code
  • Maintain database documentation, including design specifications, configurations, and procedures
Qualifications
  • Active TS/SCI with CI poly is REQUIRED
  • Education:

    BS degree in Computer Science, Information Technology, or a related field.
  • 10+ years of experience as a Database Engineer or similar role.
  • IAT Level II (Data+, Security+ CE, Network+, CCSP, etc.)
  • Experience with other graph databases (i.e., Neo4j, Amazon Neptune).
  • Strong proficiency with schema design, query optimization, security, and performance tuning.
  • Experience with data governance and data quality practices.
  • Experience with data warehousing concepts, data modeling techniques and database design principles.
  • Experience with ETL tools and techniques.
  • Strong SPARQL/SQL skills and experience with query optimization.
  • Experience with scripting languages such as Python or Shell.
  • Excellent problem-solving and analytical skills.
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